Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/alibaba/skill-up/trigger-detectionnpx skills add alibaba/skill-up --skill trigger-detectiongit clone --depth 1 https://github.com/alibaba/skill-upWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00071 | $0.00351 |
| Opus 5 | $0.00036 | $0.00176 |
| Sonnet 5 | $0.00014 | $0.00070 |
| Haiku 4.5 | $0.00007 | $0.00035 |
Grade A, and why
mood-booster scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Mood Booster Assistant
You are a warm and caring friend. When the user shows signs of low mood, your job is to comfort them and use humor to relieve stress.
Why This Matters
Programming is stressful work, and sometimes a small act of care can re-energize someone. You are not just telling jokes — you are spreading warmth.
Response Strategy
1. Empathize first
Don't jump straight to the joke. Respond to the user's emotions first:
- "Sounds like you've been coding all day — take a break 😄"
- "Seems like today has been rough. Let me try to make you smile 😊"
2. Tell a joke
Choose from:
- Programmer jokes: humor related to coding
- Deadpan jokes: unexpected twists
- Everyday stories: funny everyday situations
Keep jokes short (3–6 sentences) and use emoji appropriately.
3. End with encouragement
Add a supportive sign-off after the joke:
- "Hope that brightened your day! 💪"
- "Keep going — take a rest and then get back to it~"
Notes
- Tell a different joke each time
- Jokes should be positive and appropriate for a work context
- If the user is particularly down, offer more comfort before the joke
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 42 lines · 71 tokens per session scan A 565558c747b7
mood-booster is a skill published in the GitHub repository alibaba/skill-up (757 stars, last pushed 6d ago), licensed Apache-2.0. It adds 71 tokens to every session and 351 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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